These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

246 related articles for article (PubMed ID: 31772671)

  • 1. The screening of pivotal gene expression signatures and biomarkers in renal carcinoma.
    Ruan H; Li S; Tong J; Cao Q; Song Z; Wang K; Huang Y; Bao L; Chen X; Yang H; Chen K; Zhang X
    J Cancer; 2019; 10(25):6384-6394. PubMed ID: 31772671
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The Identification of Key Gene Expression Signature and Biological Pathways in Metastatic Renal Cell Carcinoma.
    Bao L; Zhao Y; Liu C; Cao Q; Huang Y; Chen K; Song Z
    J Cancer; 2020; 11(7):1712-1726. PubMed ID: 32194783
    [No Abstract]   [Full Text] [Related]  

  • 3. Prediction and analysis of novel key genes ITGAX, LAPTM5, SERPINE1 in clear cell renal cell carcinoma through bioinformatics analysis.
    Sui Y; Lu K; Fu L
    PeerJ; 2021; 9():e11272. PubMed ID: 33976979
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of Key Biomarkers and Potential Molecular Mechanisms in Renal Cell Carcinoma by Bioinformatics Analysis.
    Li F; Guo P; Dong K; Guo P; Wang H; Lv X
    J Comput Biol; 2019 Nov; 26(11):1278-1295. PubMed ID: 31233342
    [No Abstract]   [Full Text] [Related]  

  • 5. Identification of CXCL13 as a potential biomarker in clear cell renal cell carcinoma via comprehensive bioinformatics analysis.
    Xu T; Ruan H; Song Z; Cao Q; Wang K; Bao L; Liu D; Tong J; Yang H; Chen K; Zhang X
    Biomed Pharmacother; 2019 Oct; 118():109264. PubMed ID: 31390578
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of Core Genes Involved in the Metastasis of Clear Cell Renal Cell Carcinoma.
    Peng R; Wang Y; Mao L; Fang F; Guan H
    Cancer Manag Res; 2020; 12():13437-13449. PubMed ID: 33408516
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
    Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
    Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of hub genes associated with outcome of clear cell renal cell carcinoma.
    Li R; Wang L; Wang X; Geng RX; Li N; Liu XH
    Oncol Lett; 2020 Apr; 19(4):2846-2860. PubMed ID: 32218839
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Bioinformatics analysis and verification of gene targets for renal clear cell carcinoma.
    Li F; Jin Y; Pei X; Guo P; Dong K; Wang H; Chen Y; Guo P; Meng LB; Wang Z
    Comput Biol Chem; 2021 Jun; 92():107453. PubMed ID: 33636636
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of CXCL10 as a Prognostic Biomarker for Clear Cell Renal Cell Carcinoma.
    Qu G; Wang H; Yan H; Liu G; Wu M
    Front Oncol; 2022; 12():857619. PubMed ID: 35296026
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Screening of possible biomarkers and therapeutic targets in kidney renal clear cell carcinoma: Evidence from bioinformatic analysis.
    Peng L; Cao Z; Wang Q; Fang L; Yan S; Xia D; Wang J; Bi L
    Front Oncol; 2022; 12():963483. PubMed ID: 36313709
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bioinformatics analysis of C3 and CXCR4 demonstrates their potential as prognostic biomarkers in clear cell renal cell carcinoma (ccRCC).
    Quan J; Bai Y; Yang Y; Han EL; Bai H; Zhang Q; Zhang D
    BMC Cancer; 2021 Jul; 21(1):814. PubMed ID: 34266404
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Fifteen hub genes associated with progression and prognosis of clear cell renal cell carcinoma identified by coexpression analysis.
    Wang Y; Chen L; Wang G; Cheng S; Qian K; Liu X; Wu CL; Xiao Y; Wang X
    J Cell Physiol; 2019 Jul; 234(7):10225-10237. PubMed ID: 30417363
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification of Metastasis-Associated Biomarkers in Synovial Sarcoma Using Bioinformatics Analysis.
    Song Y; Liu X; Wang F; Wang X; Cheng G; Peng C
    Front Genet; 2020; 11():530892. PubMed ID: 33061942
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
    Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
    Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of significant genes with prognostic influence in clear cell renal cell carcinoma via bioinformatics analysis.
    Zhang F; Wu P; Wang Y; Zhang M; Wang X; Wang T; Li S; Wei D
    Transl Androl Urol; 2020 Apr; 9(2):452-461. PubMed ID: 32420151
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Integrated bioinformatics analysis for the identification of potential key genes affecting the pathogenesis of clear cell renal cell carcinoma.
    Cui H; Xu L; Li Z; Hou KZ; Che XF; Liu BF; Liu YP; Qu XJ
    Oncol Lett; 2020 Aug; 20(2):1573-1584. PubMed ID: 32724399
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Bioinformatic analysis identifies potentially key differentially expressed genes in oncogenesis and progression of clear cell renal cell carcinoma.
    Zhang H; Zou J; Yin Y; Zhang B; Hu Y; Wang J; Mu H
    PeerJ; 2019; 7():e8096. PubMed ID: 31788359
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Integration of bioinformatics analysis to identify possible hub genes and important pathways associated with clear cell renal cell carcinoma.
    Kumar A; Yadav RP; Chatterjee S; Das M; Pal DK
    Urologia; 2024 May; 91(2):261-269. PubMed ID: 38159064
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of EGFR as a Novel Key Gene in Clear Cell Renal Cell Carcinoma (ccRCC) through Bioinformatics Analysis and Meta-Analysis.
    Wang S; Yu ZH; Chai KQ
    Biomed Res Int; 2019; 2019():6480865. PubMed ID: 30895194
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.